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245 1 0 _aSimulation and Synthesis in Medical Imaging
_h[electronic resource] :
_bFirst International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings /
_cedited by Sotirios A. Tsaftaris, Ali Gooya, Alejandro F. Frangi, Jerry L. Prince.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aX, 178 p. 75 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v9968
505 0 _aFundamental methods for image-based biophysical modeling and image synthesis -- Biophysical and data-driven models of disease progression or organ development -- Biophysical and data-driven models of organ motion and deformation -- Biophysical and data-driven models of image formation and acquisition -- Segmentation/registration across or within modalities to aid the learning of model parameters -- Cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis -- Simulation and synthesis from large-scale image databases -- Automated techniques for quality assessment of simulations and synthetic images -- Image registration and segmentation -- Image denoising and information fusion -- Image reconstruction from sparse data or sparse views -- Real-time simulation of biophysical properties -- Simulation based approaches for medical imaging -- Synthesis and its applications in computational medical imaging.
520 _aThis book constitutes the refereed proceedings of the First International Workshop on Simulation and Synthesis in Medical Imaging, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 17 revised full papers presented together in this book were carefully reviewed and selected from 21 submissions. The contributions span the following broad categories: fundamental methods for image-based biophysical modeling and image synthesis; biophysical and data-driven models of disease progression or organ development; biophysical and data-driven models of organ motion and deformation; biophysical and data-driven models of image formation and acquisition; segmentation/registration across or within modalities to aid the learning of model parameters; cross modality (PET/MR, PET/CT, CT/MR, etc.) image synthesis; simulation and synthesis from large-scale image databases; automated techniques for quality assessment of simulations and synthetic images; as well asseveral applications of image synthesis and simulation in medical imaging such as image registration and segmentation; image denoising and information fusion; image reconstruction from sparse data or sparse views; and real-time simulation of biophysical properties. The papers were divided into two general topics named "simulation based approaches for medical imaging" and "synthesis and its applications in computational medical imaging".
650 0 _aComputer vision.
_9141624
650 0 _aComputer simulation.
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650 0 _aPattern recognition systems.
_93953
650 0 _aComputer graphics.
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650 0 _aArtificial intelligence.
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650 0 _aAlgorithms.
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650 1 4 _aComputer Vision.
_9141625
650 2 4 _aComputer Modelling.
_9141626
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAlgorithms.
_93390
700 1 _aTsaftaris, Sotirios A.
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_9141627
700 1 _aGooya, Ali.
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_9141628
700 1 _aFrangi, Alejandro F.
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_9141629
700 1 _aPrince, Jerry L.
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_9141630
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-46630-9
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